We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and … forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional …

We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and … forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional …

We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and … forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional …

We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and … forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional …

This paper looks into the 'fine print' of boosting for economic forecasting. By using German industrial production for … selected by the boosting algorithm over time and four different forecasting horizons. It turns out that a number of hard … therefore important to forecasting the performance of the German economy. However, there are indicators such as money supply …

This paper looks into the 'fine print' of boosting for economic forecasting. By using German industrial production for … selected by the boosting algorithm over time and four different forecasting horizons. It turns out that a number of hard … therefore important to forecasting the performance of the German economy. However, there are indicators such as money supply …

This paper applies component-wise boosting to the topic of regional economic forecasting. By using unique quarterly … indicators exists over time and four different forecasting horizons. All in all, boosting is a viable method for forecasting …

indicators play a crucial role for forecasting regional GDP. …